AIML - Senior Full-Stack Software Engineer - ML Platform & Technology
Seattle,Washington,United States
Machine Learning and AI
Would you like to join us in building the next generation of machine learning platform powering Apple's intelligent experiences across: hardware, software and service products? We are looking for senior full stack software engineer who's passionate about machine learning tooling! Ideal, you need to be proficient in full stack development and skills in: web, mobile or desktop app development. You should have a passion in UX and a strong record of building and shipping applications. You will work closely with an extraordinary ML infra and platform team to build tooling and enable faster integration for bringing ML ideas into Apple products.
Description
Our team is a part of a group within Apple's ML platform organization, that enables ML teams to support ML lifecycle project, such as: data engineering, labeling, training, online and offline evaluation, experimentation and more. Within our group, you will closely collaborate with: design, backend infrastructure, ML engineering and project management teams to brainstorm, prototype and bring features into production. Our team takes full ownership of both web frontend and backend projects.
Minimum Qualifications
Deep knowledge in frontend, backend and cloud technologies like: TypeScript, React, etc.; Golang, GraphQL, SQL/NoSQL databases, ElasticSearch, Kafka etc; AWS, GCP, Azure, K8s etc
You have a strong and continued record of delivering high impact projects through partnership across organization boundaries with: product, design and infrastructure teams
You have a minimum of 5 years developing and maintaining rich web applications for data intensive systems
Bachelors in Computer Science, or in a related field
Key Qualifications
Preferred Qualifications
Good sense of design and passion for UX and developer experience
Ability to clearly and concisely communicate about technical and architectural problems and work with key partners to iteratively solve the problems
Experience in machine learning is a plus but not required
Education & Experience
Additional Requirements
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $166,600 and $296,300, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
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Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .
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